Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow includes a series of steps that lead you from data procurement to model implementation. Primarily, it's crucial to define your targets and collect the suitable dataset. Data transformation follows, demanding techniques